Under the Radar | October 24: All Five Holding Strong; Voice AI Still Climbing

by
Under the Radar
Top 5 AI jobs and gig paths this week

Market Intelligence Report – October 24, 2025

Executive Summary

This week marks a pivotal moment in career automation trends: all five positions in our Top 5 remain unchanged, but the velocity of their growth tells a more urgent story. While AI Agent Builders, Synthetic Data Creation, and Voice AI Implementation surge forward at unprecedented rates, we’re witnessing the flip side of this technological revolution. The systematic elimination of the very jobs these opportunities are replacing. This data is current and accurate ONLY as of time of publishing. Rapid change is a part of the process, and adapting is key.

The Bottom Line: If you’re in customer service or entry-level software development, the window to pivot is narrowing rapidly. The careers replacing yours are hiring now, but they require different skills. Waiting six months may be six months too late.

The Top 5 – Status Update

#1: AI Agent Builders – SURGING 🚀

Status: Holding Position #1, Accelerating Fast

Market Signals:

  • 1,000+ jobs posted on ZipRecruiter alone
  • Market expansion: $5.1B (2024) → $47.1B (2030)
  • 44.8% CAGR – one of the fastest-growing tech sectors
  • Frameworks like LangChain, CrewAI, and AutoGPT becoming industry standard

Salary Range: $34K – $250K (entry to senior levels)

Why It’s Surging: The AI agent revolution isn’t coming, it’s here. Salesforce just cut 4,000 customer service jobs because AI agents now handle 50% of their customer interactions. These agents need builders, trainers, and managers. Every eliminated customer service position creates demand for someone who can build the AI replacement.

Skills in Demand:

  • Python/JavaScript programming
  • LLM frameworks (LangChain, LlamaIndex)
  • Prompt engineering and agent orchestration
  • CI/CD pipelines for AI deployment
  • Understanding of multi-agent systems

Entry Path: This is the rare tech role where bootcamp grads and career-changers can still break in. Companies need builders at every level, from no-code agent designers to senior AI architects.

Search AI Agent Builder jobs on ZipRecruiter →

#2: Micro-Community Management (Discord/Slack) – STABLE ✅

Status: Holding Position #2

Market Signals:

  • 253 jobs on ZipRecruiter
  • Consistent demand across gaming, crypto, and SaaS sectors
  • Remote-friendly with flexible hours

Why It’s Stable: While AI handles routine customer service, niche communities still need human moderators who understand context, culture, and nuance. Discord communities for Web3 projects, gaming clans, and creator ecosystems require humans who can spot brewing conflicts, foster engagement, and build genuine relationships.

Salary Range: $35K – $75K (depends on community size and industry)

The Reality Check: This isn’t glamorous work. You’re dealing with spam, settling arguments, and being available during peak community hours (often evenings/weekends). But it’s steady, mostly remote, and AI-resistant because it requires cultural intelligence and judgment calls.

Search Discord Community Manager jobs on ZipRecruiter →

#3: Local Business AI Implementation – STRONG 💪

Status: Holding Position #3, Growing Steadily

Market Signals:

  • 1,000+ AI automation consultant jobs
  • 1,000+ AI implementation specialist positions
  • Small/medium business adoption accelerating

Salary Range: $50K – $120K (varies by region and business size)

Why It’s Growing: While enterprise companies hire AI agent builders, small businesses need someone to actually implement the tools. A dental office doesn’t need a Python developer—they need someone who can set up their appointment scheduling AI, train their staff, and troubleshoot when it breaks.

The Opportunity: This is perfect for former customer service managers, operations specialists, or IT support professionals. You’re not building AI—you’re deploying existing tools and solving real business problems. If you can translate between “tech speak” and “small business owner speak,” you’re qualified.

Skills Needed:

  • Basic understanding of AI tools (not coding required)
  • Project management fundamentals
  • Customer service/training ability
  • Problem-solving and troubleshooting
  • Understanding of small business operations

Search AI Consultant jobs on Indeed →

#4: Digital Estate Management – GAINING MOMENTUM 📈

Status: Holding Position #4, Building Steam

Market Signals:

  • 47 states have adopted RUFADAA (Revised Uniform Fiduciary Access to Digital Assets Act) as of February 2025
  • OpenID Foundation released major research paper in October 2025
  • Growing legal/professional awareness
  • Estate planning firms actively seeking specialists

Why It’s Emerging: Baby Boomers are passing away with cryptocurrency wallets, photo libraries in the cloud, and social media accounts worth preserving. Most estate attorneys have no idea how to handle digital assets. The ones who do are billing $200-$400/hour for digital estate planning services.

The Market Gap: There’s virtually no competition yet. If you position yourself as “the person who helps families access deceased relatives’ digital assets,” you’re filling a need that didn’t exist five years ago but is now urgent.

Entry Path:

  • Paralegal background + learn digital asset laws (RUFADAA)
  • IT background + learn estate planning basics
  • Estate planning experience + upskill on digital platforms

Revenue Model: Consulting ($150-$300/hour), package services ($2K-$5K per estate), or partner with estate attorneys for referrals.

Resources:

#5: Synthetic Data Creation – EXPLOSIVE GROWTH 🔥

Status: Holding Position #5, Strongest Growth Trajectory

Market Signals:

  • Market value: $351M (2023) → projected $2.34B (2030)
  • 31.1% CAGR through 2030
  • 885+ synthetic data engineer jobs posted
  • Major players: AWS, Microsoft, Apple, Google all investing heavily

Salary Range: $80K – $240K (highly technical role)

Why It’s Exploding: AI models need massive amounts of training data. Real-world data has privacy issues (GDPR, HIPAA) and is expensive to collect. Synthetic data solves both problems—it’s artificial data that looks real but doesn’t expose anyone’s private information. Every AI company needs this.

The Technical Reality: This is an advanced role requiring strong programming skills (Python), understanding of machine learning, and knowledge of data privacy regulations. This isn’t an entry-level pivot unless you already have a technical background.

Best For:

  • Data scientists looking to specialize
  • Software engineers interested in AI/ML
  • Statisticians with programming skills
  • Privacy/security professionals wanting to move into AI

Companies Hiring:

  • Cloud providers (AWS, Azure, Google Cloud)
  • Autonomous vehicle companies (Tesla, Waymo, Cruise)
  • Healthcare AI firms (privacy-compliant medical data)
  • Financial services (fraud detection training data)

Search Synthetic Data Engineer jobs on Indeed →

One to Watch: Voice AI Implementation 🔥⚠️

Why It’s Not in the Top 5 (Yet): Voice AI is already here and accelerating so fast it could displace one of our current Top 5 within 4-6 weeks.

The Numbers:

  • 8.4 billion voice assistants projected globally by end of 2025
  • Gartner predicts 70% of customer interactions will involve Voice AI by 2027
  • 70% automation rates already reported in early implementations
  • Healthcare sector: 37.3% CAGR through 2030

Why It Matters: This is the technology eliminating customer service jobs right now. But it’s also creating opportunities for:

  • Voice AI trainers
  • Conversation designers
  • Voice UX specialists
  • Speech data analysts

The Career Pivot: If you’re a customer service rep or call center worker, learning voice AI implementation before you lose your job to it positions you as the person who trains your own replacement—and gets paid significantly more to do it.

Entry-Level Track: AI Data Labeling – SHORT-TERM Bridge Income Only ⚠️

Market Status: Not a Top 5 contender and automating rapidly – treat as 6-12 month bridge income, not a career path

CRITICAL WARNING: This field is automating itself out of existence. AI is now labeling the data to train AI. It’s a feedback loop that accelerates displacement. Entry-level annotation work is disappearing as you read this.

Why We’re Including It Despite the Risk:

If you just lost your customer service or junior developer job and need income this month while you figure out your pivot, this is one of the few ways to start earning within 1-2 weeks with zero experience required.

What It Actually Is:

You’re teaching AI to recognize patterns. Tagging images, classifying text, transcribing audio, segmenting video. Remote work, flexible hours, paid weekly on most platforms.

The Current Reality:

Entry-Level Work ($17-$30/hour):

  • Image tagging and bounding boxes
  • Text classification
  • Audio transcription
  • Video segmentation
  • No experience required, platforms provide training

The Automation Timeline:

  • Right now (2025): AI agents handle 50-70% of basic labeling
  • Companies report: 70%+ reduction in human annotators needed
  • Cost drops: $15-25K per project → $2-8K with AI automation
  • Your window: 6-12 months maximum for entry-level work

How Companies Are Automating You Out:

  1. Pre-labeling agents – AI makes first pass, humans just review (70-80% less work)
  2. Active learning – AI only flags uncertain cases for humans (50-90% reduction)
  3. Quality assurance bots – AI checks consistency automatically

The jobs being eliminated? Exactly the entry-level tasks you’d be doing.

Why This Still Matters (Short-Term):

✅ Immediate income – Start earning within 1-2 weeks, no experience needed
✅ Completely remote – Work from anywhere, set your own schedule
✅ Weekly pay – Most platforms pay weekly (helpful when desperate)
✅ Test AI work – See if you like working with AI before investing in training
✅ Bridge to better – Earn while you train for AI Agent Building or another Top 5 career

❌ Not a career – This is temporary income, period
❌ Shrinking fast – Work volume decreasing monthly
❌ No advancement – Entry-level is getting automated; expert tier requires domain credentials
❌ Platform risk – Poor regulation, some platforms ghost workers or don’t pay

How to Use This as a Bridge:

Week 1:

Weeks 2-12:

  • Work annotation gigs to generate income
  • Simultaneously start training for Top 5 careers (AI Agent Building, Local Business AI Implementation)
  • Use annotation earnings to pay for courses/bootcamps

Months 4-12:

  • Work volume may decrease as automation spreads
  • Transition to your target career path
  • Exit annotation before it exits you

What About Expert-Level Annotation?

There’s a completely different tier that’s more stable:

Specialist Annotation ($75-$400/hour):

  • Medical professionals labeling radiology data: $150-$300/hour
  • Legal experts annotating contracts: $200-$400/hour
  • Financial analysts labeling trading data: $100-$250/hour
  • Scientific researchers curating datasets: $75-$200/hour

But here’s the catch: These roles require existing professional credentials. You can’t “break into” $200/hour legal annotation without being a lawyer or paralegal. If you already have domain expertise, this is viable. But it’s not an entry point.

Platform Warnings:

This industry is poorly regulated. Before signing up:

✅ Look for:

  • Weekly pay (not net-30 or longer)
  • Clear payment terms
  • Established platforms (2+ years operating)
  • Active Reddit communities confirming payment

❌ Red flags:

  • Requests for upfront fees
  • Vague payment terms
  • No user reviews or all negative
  • “Too good to be true” rates

Check: r/beermoney, r/WorkOnline for real user experiences before committing time.

The Bottom Line:

AI Data Labeling is not an emerging career opportunity. It’s emergency income with a 6-12 month shelf life.

Use it for:

  • Immediate income after job loss
  • Extra money while training for stable careers
  • Testing AI work before investing in education
  • Bridge income during career transitions

Don’t use it as:

  • A career plan
  • Long-term income strategy
  • Something to recommend to others as a “good opportunity”

If you need income this month while you figure out your next move, this can help. But while you’re earning $20/hour labeling data, use that money to train for AI Agent Building (#1 on our Top 5) or another career that’s growing, not shrinking.

The irony? The data you’re labeling is training the AI that will eliminate your annotation job. Make sure you’re on the building side before that happens.

The Displacement Reality: Jobs Being Eliminated

Customer Service Representatives – RAPID DECLINE 📉

The Brutal Numbers:

  • Salesforce: Cut 4,000 customer service roles (9,000 → 5,000) since start of 2025
  • Klarna: Replaced 700 customer service employees with AI agents
  • Industry-wide: 50% of Salesforce customer interactions now handled by AI
  • Cost impact: 17% reduction in support costs reported
  • Gartner prediction: 95% of call center interactions automated by 2025

What’s Actually Happening: Marc Benioff, Salesforce CEO, stated bluntly: “I need less heads.” The company’s AI agents now handle over a million customer conversations, and support costs have dropped 17% since the beginning of 2025. This isn’t a prediction—this is this quarter’s earnings report.

The Philippines Reality: The BPO (Business Process Outsourcing) industry generates $30 billion annually for the Philippines economy and represents 8% of the country’s GDP. Mylene Cabalona, president of the BPO Industry Employees’ Network, warns: “For a worker like me, I would say, eventually, AI will replace us.”

Which Customer Service Jobs Are Most at Risk: ❌ High Risk (Being Eliminated Now):

  • Appointment scheduling
  • Order status inquiries
  • Password resets and basic tech support
  • FAQ responses
  • Billing questions
  • Basic troubleshooting

⚠️ Medium Risk (Partial Automation):

  • Product recommendations
  • Returns and refunds processing
  • Account management
  • Tier 1 technical support

✅ Low Risk (Human-Essential):

  • Crisis intervention
  • Complex problem-solving requiring judgment
  • High-value customer relationship management
  • Handling angry customers requiring empathy
  • Sales conversations requiring persuasion

The Timeline: If you’re in routine customer service work, you have 6-18 months to pivot. Companies are implementing AI agents this quarter, not next year. The job postings you’re applying to today may not exist in six months.

Where Former Customer Service Workers Should Look:

  1. AI Agent Builders (#1 on our list) – You understand the customer problems; learn to build the solutions
  2. Local Business AI Implementation (#3) – Your customer service experience translates directly
  3. Healthcare Patient Navigation – Requires human empathy, HIPAA compliance makes it AI-resistant
  4. Voice AI Training – Train the systems replacing you (and get paid more)

Software Developers/Programmers – SEVERE IMPACT 📉

The Shocking Numbers:

  • 27.5% drop in computer programming jobs since 2023 (ChatGPT’s launch)
  • Lowest level of programmers in U.S. since 1980 (before the internet existed)
  • Young developers (ages 22-25) hit hardest: 20% employment decline from late 2022 peak
  • 171,000 IT jobs eliminated in past two years
  • Microsoft: 30% of company code now AI-written
  • Over 150,000 tech workers lost jobs in 2024; 50,000+ in 2025 so far

What Stanford Research Shows: A Stanford study analyzing ADP payroll data found employment for young and older developers moved together until late 2022. Then they split apart dramatically. “Employment for software developers aged 22-25 declined by nearly 20% compared to its peak in late 2022,” researchers found.

Why Young Developers Are Getting Hit Hardest: AI excels at textbook knowledge. The coding syntax and basic algorithms taught in computer science programs. Young developers rely heavily on this formal education when starting work. But experienced developers have something AI struggles with: years of handling unexpected problems, difficult clients, and messy real-world situations without clear solutions.

The Real Story: One software engineer – we’ll call him K – lost his $150,000/year job to AI. After 800 job applications and zero offers, he’s now living in an RV trailer in central New York, delivering DoorDash orders and selling household items on eBay to make a few hundred dollars.

“The Great Displacement is already well underway,” K wrote on his Substack. He still calls himself an “AI maximalist” despite being replaced by the technology he believes in.

Which Programming Jobs Are Most at Risk: ❌ High Risk (Being Eliminated Now):

  • Junior developers writing boilerplate code
  • Bug fixing and code testing
  • Basic front-end development
  • Data entry and formatting
  • Simple API integrations
  • Routine maintenance coding

⚠️ Medium Risk (Evolving Rapidly):

  • Mid-level developers not adapting to AI tools
  • Programmers who can’t architect systems
  • Developers focused solely on coding (not design/strategy)

✅ Low Risk (Still in Demand):

  • Senior architects designing complex systems
  • Developers who integrate and manage AI
  • Specialists in AI/ML engineering
  • Programmers with deep domain expertise
  • Those who can translate business needs to technical solutions

The Anthropic CEO’s Warning: Dario Amodei, CEO of Anthropic, predicts: “In 12 months, we may be in a world where AI is writing essentially all of the code… AI could eliminate half of all entry-level white-collar jobs within five years.”

The Timeline: If you’re an entry-level developer or programmer who only writes code, you have 12-24 months to evolve. The difference between programmers losing jobs and developers staying employed is this: developers who use AI to build systems are thriving. Programmers who compete against AI to write code are disappearing.

Where Displaced Developers Should Look:

  1. AI Agent Builders (#1) – Learn to build with LLMs instead of from scratch
  2. AI Integration Specialists – Companies need people to implement AI, not just code
  3. Synthetic Data Creation (#5) – Technical skills transfer directly
  4. AI Training & Quality Assurance – Your coding knowledge makes you valuable for training AI

The Skills That Save Your Career:

  • Prompt engineering (directing AI to write code for you)
  • System architecture (designing what gets built)
  • AI tool integration (GitHub Copilot, Cursor, etc.)
  • Domain expertise (healthcare, finance, etc.) + coding
  • Managing AI-generated code for quality and security

The Pattern You Can’t Ignore

Here’s the connection most people are missing:

The #1 job on our Top 5 (AI Agent Builders) exists because customer service jobs are being eliminated.

The #5 job (Synthetic Data Creation) exists to train the AI that’s eliminating developers.

This isn’t a coincidence. It’s cause and effect.

Every customer service rep whose job disappears creates demand for the AI agent that replaced them. Every junior developer who loses their job validates the need for more AI training data to improve the models.

The question isn’t “Will my job be automated?”

The question is: “Am I building the automation or being automated?”

What This Means for You

If You’re in Customer Service Right Now:

Your Timeline: 6-18 months

You’re watching your industry get hollowed out in real-time. Salesforce didn’t plan to cut 4,000 jobs—they just needed fewer people because AI agents work. This will accelerate.

Your Options:

  1. Pivot to AI Agent Building – You understand customer problems; learn to build solutions. Bootcamps exist for this exact transition.
  2. Move to Local Business AI Implementation – Small businesses need your customer service experience to deploy AI tools.
  3. Specialize in Complex Service – Move into roles requiring judgment: crisis intervention, complex problem-solving, high-value relationship management.
  4. Healthcare Patient Navigation – Transferable skills, human-essential work, recession-resistant.

What NOT to Do:

  • Apply for more customer service jobs (shrinking field)
  • Wait to see what happens (companies are implementing AI now)
  • Assume “my company would never replace me” (Salesforce employees thought that too)

If You’re an Entry-Level Developer:

Your Timeline: 12-24 months

The harsh reality: Companies don’t need 10 junior developers when one senior developer with AI tools can do the same work. You’re competing against ChatGPT, GitHub Copilot, and Cursor. And they work 24/7 for $20/month.

Your Options:

  1. Become an AI-First Developer – Stop competing with AI; use it. Learn prompt engineering, AI tool integration, and how to manage AI-generated code.
  2. Specialize in AI Agent Building – The one area where coding jobs are expanding.
  3. Add Non-Coding Skills – System architecture, product management, domain expertise. Be the person who knows what to build, not just how.
  4. Synthetic Data Creation – Your programming skills transfer directly to this growing field.

What NOT to Do:

  • Focus only on learning more programming languages (AI learns them faster)
  • Apply for junior developer roles without AI skills (you’re competing against AI)
  • Ignore the data (27.5% job decline since ChatGPT isn’t a coincidence)

If You’re in a Stable Job (For Now):

Your Timeline: 24-60 months

You’re safe-ish for now, but AI adoption follows a pattern:

  1. Early adopters (tech companies) – happening now
  2. Fast followers (enterprise companies) – next 1-2 years
  3. Mainstream adoption (everyone else) – 2-5 years

Your Action Plan:

  1. Monitor Your Industry – Is AI being implemented in roles similar to yours?
  2. Develop AI-Adjacent Skills – Even if your job is safe, knowing AI makes you more valuable
  3. Build Your Pivot Plan – Don’t wait until you’re laid off to figure out your next move
  4. Network in Growing Fields – Start connecting with people in the Top 5 roles now

Warning Signs Your Job May Be Next:

  • Your company announces “AI initiatives”
  • Consultants are brought in to “optimize processes”
  • Executive communications emphasize “efficiency” and “automation”
  • Your routine tasks could be described in a flowchart
  • New hires are expected to “do more with less”

Resources for Career Transitions

For Customer Service Professionals Pivoting:

Learn AI Agent Building:

Local Business AI Implementation:

  • Google AI Essentials (understand AI tools for business)
  • Connect with local small business consultants—they need people who understand AI deployment

Healthcare Pivot:

  • Patient Navigator certification programs (community colleges often offer these)
  • Lower barrier to entry than you think; customer service skills directly transfer

For Developers/Programmers Pivoting:

AI-First Development:

AI Agent Building:

Synthetic Data Creation:

Career Transition Planning:

Assessment Tools:

  • Evaluate your current role’s automation risk
  • Identify transferable skills
  • Research salary expectations in target roles

Our Platform (Coming Soon): We’re building tools specifically for workers facing AI displacement. And yes, it will be freeware for individuals so keep watching for that:

  • Real-time career risk monitoring
  • Validated transition pathways
  • Honest gig/job recommendations
  • Scam protection for desperate job seekers

The Bottom Line

The AI revolution isn’t coming. It arrived two years ago when ChatGPT launched.

Since then:

  • 27.5% of programming jobs gone
  • Thousands of customer service roles eliminated
  • Entry-level hiring in “AI-exposed” jobs down 13%
  • 76,440 positions eliminated in 2025 due to AI automation

But here’s what the headlines miss:

For every job eliminated, adjacent opportunities are being created. AI Agent Builders (#1 on our list) are in massive demand because customer service is being automated. Synthetic Data Creation (#5) is exploding because AI needs training data.

The workers who thrive aren’t the ones resisting AI.

They’re the ones who learned to build it, implement it, or work in fields AI can’t touch.

Your Move:

If you’re in customer service or entry-level development, you don’t have years to decide. You have months. The companies eliminating these roles are doing it this quarter, not “sometime in the future.”

But if you move now, you’re early. The AI Agent Builder learning Prompt Engineering today will have 2+ years of experience by the time everyone realizes they need to pivot. The customer service rep who learns Local Business AI Implementation this month will be consulting when their former colleagues are job hunting.

The window is open. But it’s closing.

What’s Next?

Last week, we added the One to Watch. This week we added the Entry level “need work now” idea. Have a suggestion? Drop a comment or send an email. We would love to get your ideas.

Until then, stay ahead of the curve.

— The Under the Radar Team

Methodology & Transparency

Research Process

This report combines quantitative job market data, industry research, real-time displacement tracking, and AI-assisted analysis to identify career opportunities emerging from technological shifts.

Data Collection (October 18-23, 2025):

Sources Monitored: 218+ career and technology information sources tracked daily

AI-Assisted Research

This analysis was produced through collaboration between human expertise and AI assistance:

Human Contribution (Report Author):

  • Initial research direction and Top 5 framework
  • Personal gig economy testing
  • Industry relationship insights
  • Strategic positioning and editorial decisions
  • Voice AI healthcare impact research (October 17 article)
  • Real-world displacement pattern recognition
  • Career pivot pathway validation
  • Final editorial review and fact-checking

AI Contribution (Claude, Anthropic):

  • Web search execution across multiple job platforms and research sources
  • Data synthesis from 80+ source documents
  • Salary range aggregation and market size calculations
  • Statistical trend analysis and CAGR calculations
  • Citation tracking and source attribution
  • Real-time job market scanning (October 23, 2025)

Critical Human Decisions:

  • Excluding AI Data Labeling from Top 5 due to rapid automation (human judgment call)
  • Reframing data labeling as “bridge income” rather than career path (ethical decision)
  • Emphasis on displacement connection between opportunities and job losses (strategic focus)
  • 6-18 month timelines for customer service workers (based on Salesforce/Klarna data)
  • Healthcare patient navigation as AI-resistant alternative (domain expertise)

What We Got Right vs. Wrong (Ongoing Tracking)

Validated Predictions:

  • Voice AI acceleration in healthcare (37.3% CAGR confirmed – source)
  • Customer service displacement (Salesforce 4,000 jobs – Fortune, Klarna 700 jobs – confirmed)
  • Junior developer vulnerability (Stanford study confirmed 20% decline ages 22-25 – source)
  • AI Agent Builder demand surge (1,000+ jobs, 44.8% CAGR confirmed – ZipRecruiter)

What We’re Watching:

  • Digital Estate Management adoption rate (47 states with RUFADAA – source, but job creation unclear)
  • Voice AI timeline to Top 5 entry (predicted Q1-Q2 2026)
  • Data labeling automation speed (may obsolete faster than 6-12 month estimate – automation trends)

Limitations & Biases

Known Limitations:

  • Job posting data reflects advertised positions, not actual hires
  • Salary ranges vary significantly by geography and company size
  • Market projections (CAGRs) are industry estimates, not guarantees
  • Displacement timelines are based on early adopters; mainstream adoption may differ
  • Focus on U.S. market; international trends may vary

Potential Biases:

  • Author background in customer service/operations may influence pivot recommendations
  • Emphasis on accessible entry points may underweight highly technical roles
  • Focus on AI-driven displacement may overlook other automation trends
  • Remote work bias (most recommendations favor remote-friendly careers)

What We Don’t Know:

  • Exact pace of AI adoption across different company sizes
  • Regional variation in automation implementation
  • Policy/regulatory responses that might slow displacement
  • Emergence of entirely new job categories not yet visible

Corrections & Updates Policy

If we get something wrong, we’ll say so publicly.

This report will be updated weekly (every Wednesday). Changes will be documented:

  • Additions – New opportunities entering Top 5
  • Removals – Opportunities dropping out with explanation
  • Corrections – Factual errors corrected with strikethrough and note
  • Timeline adjustments – If displacement happens faster/slower than predicted

Last Updated: October 23, 2025
Next Update: October 30, 2025
Version: 1.0

How to Use This Information

This report is intelligence, not advice:

  • We identify trends and provide data
  • We don’t know your specific situation, skills, or constraints
  • Career decisions require personal research beyond this report
  • Timelines are estimates based on current data, not guarantees

Do your own validation:

  • Check job postings in your area
  • Talk to people actually doing these jobs
  • Test platforms before committing (especially gig work)
  • Verify salary ranges for your region
  • Research companies before applying

Red flags that should make you skeptical of ANY career advice (including ours):

  • Promises of quick money with no effort
  • “Secret” opportunities nobody else knows about
  • Pressure to pay for training/certifications upfront
  • Claims that “AI will never replace this job”
  • No discussion of risks or downsides

Key Sources Referenced

Job Market Data:

Displacement Research:

Market Growth Data:

Voice AI Research:

Digital Estate Management:

AI Data Labeling:

Contact & Feedback

Found an error? We want to know. Accuracy matters more than being right.

Disagree with our analysis? Tell us why. We’re tracking predictions to see what we got wrong.

Working in one of these fields? Your real-world experience is more valuable than our research. Share what we’re missing.

Under the Radar exists because career advice is usually too slow, too optimistic, or outright dishonest. We’re trying to do better. Hold us accountable.

About Under the Radar

We track career opportunities emerging from technological shifts, with particular focus on roles being created as automation eliminates traditional jobs.

Our analysis combines:

  • Job market data aggregation
  • Industry research synthesis
  • Real-world displacement tracking
  • AI-assisted research and analysis
  • Human editorial judgment and validation

We don’t just report trends—we show you which side of automation to be on.

Founded: 2025
Mission: Provide honest, real-time career intelligence for workers facing technological displacement
Structure: L3C (Low-profit Limited Liability Company) – profits support mission, not vice versa

Last Updated: October 23, 2025 Next Update: October 30, 2025

Leave a Comment

Verified by MonsterInsights